Lead Data Engineer

1 week ago

Burnaby, British Columbia, Canada Firstvibe Technologies Inc. Full time

Hello ConnectionsThis is a contract position for a Lead Data Engineer in Burnaby, Canada. The candidate needs to have valid work visa and attend the office 2-3 days a week in Burnaby. Please share updated resume at Data Engineer with 8 + years ,Telecom Supply ChainWe are seeking an experienced person to design, build, and optimize scalable data solutions for our Telecom Supply Chain analytics and operations platform. Technical expertise in Apache Spark, Scala, Python, Azure, and Databricks, along with strong domain knowledge of telecom supply chain processes such as inventory management, logistics, fulfillment, and device lifecycle management.Data Architecture & EngineeringDesign and develop end-to-end data pipelines leveraging Apache Spark, Scala, and Python for large-scale processing.Architect and maintain data lake and data warehouse solutions on Azure and Databricks.Implement robust ETL/ELT processes for ingesting structured, semi-structured, and unstructured data from diverse telecom supply chain systems (SAP, Oracle ERP, logistics feeds, etc.).Drive best practices in data modeling, partitioning, and schema design to support analytical workloads.Performance OptimizationOptimize Spark jobs for performance, scalability, and cost-efficiency.Monitor and fine-tune Azure Data Lake Storage, Synapse, and Databricks environments for reliability and throughput.Implement CI/CD pipelines for automated testing and deployment of data solutions.Collaboration & Cross-functional IntegrationProgramming LanguagesAdvanced in Scala, Python, SQLBig Data FrameworksExpert in Apache Spark, experience with Delta LakeCloud PlatformsHands-on with Microsoft Azure (Data Lake, Synapse, Data Factory)Data PlatformsDatabricks – advanced experience in workspace configuration, notebooks, clustersETL ToolsStrong experience with Azure Data Factory, Airflow, or equivalent orchestration toolsVersion Control & CI/CDGit, Azure DevOps, JenkinsDatabase SystemsSQL Server, Oracle, Snowflake (preferred)Data ModelingDimensional modeling, Data Vault, or similar methodologiesPerformance OptimizationSpark tuning, cluster scaling, data partitioning strategiesDomain ExpertiseDeep understanding of Telecom Supply Chain operations, including:Device procurement and logisticsInventory and warehouse managementOrder fulfillment and reverse logisticsNetwork asset lifecycle and configuration dataFamiliarity with ERP systems (SAP ABAP, Oracle ERP) and their integration with data platforms.Proven experience delivering enterprise-grade data solutions in a cloud-native, large-scale environment.Strong analytical, problem-solving, and communication skills.Telecom or Supply Chain project experience is mandatory.Azure Data Engineer or Databricks certification.Experience with real-time streaming (Kafka, Event Hubs).Exposure to machine learning pipelines and MLOps integration.Familiarity with Agile delivery and DevOps practices.

Job Type: Fixed term contract

Contract length: 12 months

Pay: Up to $80.00 per hour

Expected hours: 40 per week

Experience:

  • data engineering: 8 years (preferred)
  • Apache Spark: 7 years (preferred)
  • Scala, Python: 6 years (preferred)
  • Azure Data Factory: 3 years (preferred)
  • Delta Lake: 5 years (preferred)
  • Databricks: 5 years (preferred)
  • SQL: 4 years (preferred)
  • Telecom domain: 2 years (preferred)

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